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Bengaluru · On-site · 4-7 Yrs · Oct 7
1 open role0 posted in 7d1 in 30d
Hiring: Engineering
Job description
Overview
Job Title: Data Engineer (Data Platform & DevOps)
Responsibilities
- Build & Operate Data Pipelines:
- ML Workflow Orchestration:
- DevOps & CI/CD for Data & ML:
- Artifact & Dependency Management:
- Cloud Platforms:
- Infrastructure as Code:
- Observability & Reliability:
- Security & Governance:
- Cross-Functional Collaboration:
Qualifications
- Location: Bangalore (Onsite)
- Employment Type: Full-Time
- Experience:
- Cloud Platforms:
- Databricks:
- Hands-on experience with one or more cloud platforms: AWS, Azure, or GCP.
- Data Orchestration:
- CI/CD & DevOps:
- Artifact Management:
- Strong experience with Apache AirflowAWS Glue, Lambda, Step FunctionsAzure Data Factory for orchestrating data and ML pipelines.
- Hands-on experience with GitHub Actions and/or Jenkins, including pipeline automation and release workflows.
- Programming:
- Containers & Packaging:
- Strong proficiency in Python; experience with Bash or shell scripting.
- Data Technologies:
- Security & Compliance:
- Collaboration:
- Strong SQL skills and understanding of data modeling and analytical data stores.
- Knowledge of IAM, secrets management, and secure CI/CD and data pipeline practices.
- Strong communication skills and ability to work effectively with cross-functional teams.
Nice to have
- Streaming and event-driven architectures (Kafka, Kinesis, Pub/Sub, Event Hubs).
- ML platforms and tooling (MLflow, SageMaker, Azure ML, Vertex AI).
- Big data frameworks (Spark, PySpark).
- Data quality, lineage, and observability tooling.
- Familiarity with Informatica Power Center and CloudEra Data Platform.
- BE/B.Tech or M.Tech degree in Computer Science, Engineering, or related fields.
- Prior experience working on Data Engineering Projects related to Pharma and Clinical Domain.
- AWSAzureGCP certifications (Certified Data Engineer or Solutions Architect).
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Job application FAQ
Last updated 10 October 2026
- How do I apply for Data Engineer (Data Platform & DevOps) at NeoRecruit?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. NeoRecruit may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Engineer (Data Platform & DevOps) role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Engineer (Data Platform & DevOps) remote or on-site in Bengaluru, Karnataka?
- This listing is marked on_site with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this Data Engineer (Data Platform & DevOps) role at NeoRecruit?
- This is a mid-level Data Engineer (Data Platform & DevOps) role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.